Building a Large-Scale Medical Data Platform: Accelerating AI Utilization with FHIR Standards

Details

The 'AI Smart Healthcare Data Platform' was established by the Taiwan Biomedical Equipment Industry Association, involving partners such as ITRI and multiple medical device companies (including Chunghwa Telecom, Medtronic, etc.). The platform aims to integrate medical equipment data, clinical care information, and AI analysis applications using FHIR international standards as its core. Historically, the medical device industry faced significant challenges because vast amounts of data were scattered across different devices and systems, requiring extensive time (1-2 years) for collection and organization—a major hurdle in developing AI products. This platform addresses this by providing a standardized data structure, making data 'ready to use.' This is expected to drastically shorten the data verification process, accelerating AI model training and clinical validation. ITRI acts as an impartial third-party entity, providing core technologies such as data integration and FHIR international standard implementation. The platform facilitates the cross-analysis of multi-modal physiological signals (such as ECG, blood pressure, and oxygen saturation). This initiative goes beyond mere data sharing; it aims to deepen interdisciplinary cooperation among MedTech, AI, and ICT sectors, thereby strengthening Taiwan's overall medical device industry competitiveness and accelerating product commercialization.